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How to Get More AI for Less Money

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Last year, we were still in the ‘golden age’ of AI coding and productivity agents. I’m not talking about capability. Agents have massively improved in that area.

I’m referring to the freedom. In the beginning, even the cheapest LLM API subscription plans (from OpenAI and Anthropic) had lots of headroom for exploration, building and learning.

Oh how things have changed! Demand for AI inference has skyrocketed and major AI labs have been pulling back on subscription plans significantly.

Anthropic has been the poster child for this trend. When they re-launched their newest Fable model, they provided access to it via a Claude Code subscription. But only for a limited time. This led to some builders working day and night (or even missing the birth of their baby) to maximize their access to the model before it went behind the pay-as-you-go wall.

Although OpenAI seems to be taking...

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Cloud Regions Don’t Expand Themselves: How to Automate Multi-Region Infrastructure at Scale

Launching a new cloud region is not just “deploying the same service somewhere else.” It is a control-plane, metadata, networking, policy, and validation problem — and the real solution is a region factory. Suggested HackerNoon tags: cloud-infrastructure, devops, distributed-systems, cloud-computing, platform-engineering, automation, oci, infrastructure-as-code Cloud Regions Don’t Expand Themselves When